Lizhe Zhu

This study designs high-fidelity CRISPR-Cas variants using a physics-driven approach combining molecular dynamics and protein language models, achieving significant improvements in fidelity with minimal experimental validation.

The paper introduces Delta PSA, a metric for predicting macrocyclic peptide permeability using MD simulations, achieving lower MSE than existing methods.

The paper reports cryo-EM structures of S1PR1-Gi complexes bound to agonists and identifies molecular features driving selectivity for S1PR1 over S1PR3 and S1PR5.

This paper investigates how modifying PNA with s2U adjacent to Q residues enhances binding affinity and functional activity toward dsRNAs, demonstrating broader applicability in targeting structured RNA structures.

This paper introduces daPNAs, a programmable platform combining dbPNAs and asPNAs to target RNA junctions, demonstrating their use in inhibiting Dicer and regulating ribosomal frameshifting.